Speech recognition for under-resourced languages: Data sharing in hidden Markov model systems
For purposes of automated speech recognition in under-resourced environments, techniques used to share acoustic data between closely related or similar languages become important. Donor languages with abundant resources can potentially be used to increase the recognition accuracy of speech systems developed in the resource poor target language. The assumption is that adding more data will increase the robustness of the statistical estimations captured by the acoustic models. In this study we investigated data sharing between Afrikaans and Flemish – an under-resourced and well-resourced languag... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2017 |
Verlag/Hrsg.: |
Academy of Science of South Africa
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Schlagwörter: | acoustic modelling / Afrikaans / Flemish / automatic speech recognition |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27091622 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://sajs.co.za/article/view/3570 |